Design and Application of Risk Adjusted Cumulative Sum for Strength Monitoring of Ready Mixed Concrete
Publication: Journal of Construction Engineering and Management
Volume 136, Issue 6
Abstract
The cumulative sum procedure is an effective statistical process control tool that can be used to monitor the quality of ready mixed concrete during its production process. In this paper, an attempt has been made to design and apply a new cumulative sum procedure for the ready mixed concrete industry, which takes care of the risks involved in and associated with the production of concrete. This new procedure can be termed as risk adjusted cumulative sum. The 28-day characteristic cube compressive strengths of the various grades of concrete and detailed information regarding the production process and the risks associated with production were collected from the operational ready mixed concrete plants in and around Ahmedabad and Delhi, two important cities in India. The risks were quantified using a likelihood-based scoring method. Finally, a risk adjusted cumulative sum model was developed by imposing the weighted score of the estimated risks on the conventional cumulative sum plot. This model is a more effective and realistic tool for monitoring the strength of ready mixed concrete.
Get full access to this article
View all available purchase options and get full access to this article.
References
Apley, D. W., and Shi, J. (1999). “The GLRT for statistical process control of autocorrelated processes.” IIE Trans., 31, 1123–1134.
Barnard, G. A. (1959). “Control charts and stochastic process.” J. R. Stat. Soc. Ser. A (Gen.), 21, 239–271.
Box, G. (1994). “Changing management policy to improve quality and productivity.” Qual. Eng., 6, 719–724.
Box, G., and Ramirez, J. (1992). “Cumulative score charts.” Qual. Reliab. Eng. Int., 8, 17–27.
Davis, R. B., and Woodall, W. H. (1988). “Performance of the control chart trend rule under linear shift.” J. Quality Technol., 20, 260–262.
Deming, W. E. (1986). Out of crisis, MIT, Center for Advanced Engineering Study, Cambridge, Mass.
Dewar, J. D., and Anderson, R. (1988). Manual of ready mixed concrete, Blackie and Son, London.
Keats, J. B., and Montgomery, D. C., eds. (1996). Statistical applications in process control, Marcel Dekker, New York.
Montgomery, D. C. (1980). “The economic design of control charts: A review and literature survey.” J. Quality Technol., 12, 75–87.
Montgomery, D. C. (1985). Introduction to statistical quality control, Wiley, New York.
Page, E. S. (1954). “Continuous inspection schemes.” Biometrika, 41, 100–115.
Page, E. S. (1961). “Cumulative sum control charts.” Technometrics, 3, 1–9.
Pignatiello, J. J., and Samueloabre, T. R. (2001). “Estimation of the change point of a normal process mean in SPC applications.” J. Quality Technol., 33, 82–95.
Sarkar, D. (2009). “Project management for urban infrastructure: A study of application of statistical quality control and project risk management.” Ph.D. thesis, D.D. Univ., Gujarat, India.
Sarkar, D., and Bhattacharjee, B. (2003). “Quality monitoring of ready mixed concrete using CUSUM system.” Indian Concr. J., 7, 1060–1065.
Steiner, S., and Cook, R. (2000). Monitoring surgical performance using risk adjusted cumulative sum charts, University of Waterloo, London.
Woodall, W. H. (1986). “The design of CUSUM quality control charts.” J. Quality Technol., 18, 99–102.
Woodall, W. H. (2000). “Controversies and contradictions in statistical process control.” J. Quality Technol., 32, 341–350.
Woodall, W. H., and Montgomery, D. C. (1999). “Research issues and ideas in statistical process control.” J. Quality Technol., 31, 376–388.
Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 136 • Issue 6 • June 2010
Pages: 623 - 631
Copyright
© 2010 ASCE.
History
Received: Aug 25, 2008
Accepted: Nov 2, 2009
Published online: Nov 5, 2009
Published in print: Jun 2010
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.